| MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records | Dec 8, 2019 | AttributePoint Processes | CodeCode Available | 0 |
| Learning Positive Functions with Pseudo Mirror Descent | Dec 1, 2019 | Computational EfficiencyPoint Processes | —Unverified | 0 |
| Thinning for Accelerating the Learning of Point Processes | Dec 1, 2019 | Point ProcessesStochastic Optimization | —Unverified | 0 |
| On two ways to use determinantal point processes for Monte Carlo integration | Dec 1, 2019 | Numerical IntegrationPoint Processes | —Unverified | 0 |
| Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes | Dec 1, 2019 | Gaussian ProcessesPoint Processes | —Unverified | 0 |
| Mutually Regressive Point Processes | Dec 1, 2019 | Bayesian InferencePoint Processes | CodeCode Available | 0 |
| Intermittent Demand Forecasting with Deep Renewal Processes | Nov 23, 2019 | Demand ForecastingPoint Processes | CodeCode Available | 0 |
| Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction | Nov 12, 2019 | Point Processes | —Unverified | 0 |
| Adaptive Sampling for Stochastic Risk-Averse Learning | Oct 28, 2019 | Point Processes | CodeCode Available | 0 |
| Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling | Oct 25, 2019 | Point Processes | —Unverified | 0 |
| Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations | Oct 24, 2019 | Document SummarizationExtractive Summarization | —Unverified | 0 |
| Event-scheduling algorithms with Kalikow decomposition for simulating potentially infinite neuronal networks | Oct 23, 2019 | Point ProcessesScheduling | —Unverified | 0 |
| Better Approximate Inference for Partial Likelihood Models with a Latent Structure | Oct 22, 2019 | Point ProcessesSurvival Analysis | —Unverified | 0 |
| Sequential Adversarial Anomaly Detection for One-Class Event Data | Oct 21, 2019 | Anomaly DetectionPoint Processes | —Unverified | 0 |
| Point Process Flows | Oct 18, 2019 | Point Processes | —Unverified | 0 |
| Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method | Oct 13, 2019 | DiversityPoint Processes | —Unverified | 0 |
| Intensity-Free Learning of Temporal Point Processes | Sep 26, 2019 | Point Processes | CodeCode Available | 0 |
| In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes | Sep 24, 2019 | Abstractive Text SummarizationDiversity | CodeCode Available | 0 |
| Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions | Sep 23, 2019 | Dynamic Link PredictionLink Prediction | CodeCode Available | 0 |
| ChOracle: A Unified Statistical Framework for Churn Prediction | Sep 15, 2019 | Binary ClassificationPoint Processes | —Unverified | 0 |
| Computer Assisted Composition in Continuous Time | Sep 10, 2019 | Point ProcessesRhythm | —Unverified | 0 |
| Black-box constructions for exchangeable sequences of random multisets | Aug 17, 2019 | Point Processes | —Unverified | 0 |
| Diverse Trajectory Forecasting with Determinantal Point Processes | Jul 11, 2019 | Autonomous VehiclesDiversity | —Unverified | 0 |
| Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm | Jul 6, 2019 | 2kDiversity | —Unverified | 0 |
| Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information | Jun 21, 2019 | MarketingPoint Processes | —Unverified | 0 |
